Scientometrics

, Volume 108, Issue 1, pp 441–455

The advantages of an Ontology-Based Data Management approach: openness, interoperability and data quality

  • Cinzia Daraio
  • Maurizio Lenzerini
  • Claudio Leporelli
  • Paolo Naggar
  • Andrea Bonaccorsi
  • Alessandro Bartolucci
Article

DOI: 10.1007/s11192-016-1913-6

Cite this article as:
Daraio, C., Lenzerini, M., Leporelli, C. et al. Scientometrics (2016) 108: 441. doi:10.1007/s11192-016-1913-6

Abstract

We illustrate the usefulness of an Ontology-Based Data Management (OBDM) approach to develop an open information system, allowing for a deep level of interoperability among different databases, and accounting for additional dimensions of data quality compared to the standard dimensions of the OECD (Quality framework and guidelines for OECD statistical activities, OECD Publishing, Paris, 2011) Quality Framework. Recent advances in engineering in computer science provide promising tools to solve some of the crucial issues in data integration for Research and Innovation.

Keywords

Data integrationOpen dataComparabilityStandardizationModularizationInteroperabilityData qualityResearch and innovation

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  • Cinzia Daraio
    • 1
  • Maurizio Lenzerini
    • 1
  • Claudio Leporelli
    • 1
  • Paolo Naggar
    • 2
  • Andrea Bonaccorsi
    • 3
  • Alessandro Bartolucci
    • 2
  1. 1.Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG)Sapienza University of RomeRomeItaly
  2. 2.Studiare Ltd.RomeItaly
  3. 3.Dipartimento di Ingegneria dell’Energia dei Sistemi del Territorio e delle Costruzioni (DESTEC)University of PisaPisaItaly